Augur FAQs

Question 1

What is Augur?

Accepted Answer

Augur is a hybrid neurosymbolic AI system designed to detect, interpret, and respond to complex patterns in streaming behavioral data. It intelligently combines neural perception with symbolic reasoning for advanced insights.

Question 2

How does Augur detect anomalies?

Accepted Answer

Augur uses a domain-agnostic anomaly detector based on EWMA and River HalfSpaceTrees. It automatically subscribes to new perception domains via NATS, requiring zero code changes to its core detection logic.

Question 3

Can Augur correlate signals from different data sources?

Accepted Answer

Yes, Augur excels at cross-domain correlation. It uses a self-tuning escalation matrix to combine signals from various perception domains within a rolling window, identifying composite patterns and escalating severity accordingly.

Question 4

How does Augur 'self-improve' over time?

Accepted Answer

Augur features a robust self-improvement loop. After each session, its reflection engine runs multiple analysis passes to tune parameters, mutate LLM prompts, and update the confidence of escalation rules, leading to continuous learning and adaptation.

Question 5

Does Augur integrate with Large Language Models (LLMs)?

Accepted Answer

Yes, Augur integrates local LLMs (like Ollama) for cross-domain reasoning and advice generation. It constructs context-rich prompts to deliver intelligent interpretations and actionable advice based on detected patterns.

Augur

Augur

Key Features

Use Cases

Key Features

Use Cases